Recently, we hosted the first-ever AI Summit for the Americas region of our global independent agency network, PROI.

We brought together agency leaders from North, Central, and South America, along with colleagues from Europe, for two days of working sessions, discussion, and hands-on exploration.

It was an energizing and important moment.

We went both broad and deep, sharing approaches, pressure-testing ideas, and tapping into insights and tools that will directly accelerate how we apply AI in our work with clients.

But stepping back, one theme came through clearly:

AI adoption is accelerating, but alignment is lagging. For clients, this gap is where both the risk, and the opportunity, now sits.

AI Is Now Embedded, But Not Always Integrated

Across the network, AI is no longer experimental.

It’s being actively used across:

• Analytics and insights
• Content and creative
• Workflow and operations
• Strategy and planning

In many ways, the question of whether to use AI has already been answered. The real question now is: How well is it being integrated into how organizations actually operate?

The Real Constraint Isn’t Technology

One of the most consistent themes across discussions was this:

The biggest barrier to progress isn’t access to AI tools. It’s adoption, alignment, and behavior. Organizations are moving quickly to deploy AI. But many are still working through:

• How teams use it consistently
• How outputs align across functions
• How decisions are made when speed and risk collide

In other words: The challenge isn’t capability. It’s coherence.

Why This Matters for Clients

For leaders, this dynamic is already showing up in real ways internally, and with partners:

• Different teams using AI in different ways, producing inconsistent outputs
• Increased speed, but not always increased clarity
• More content and activity, but not always more alignment
• Tension between innovation, risk management, and brand trust

None of this is surprising. It’s what happens when a new capability scales faster than the systems that govern it.

The “Messy Middle” of AI Adoption

What we’re seeing is a transition phase:

• Early experimentation is complete
• Use cases are expanding rapidly
• Expectations are increasing

But the underlying systems, how organizations align, decide, and operate, are still catching up. This creates what we’ve been calling the “messy middle.” Everyone is moving faster. But not always in the same direction.

What Leading Organizations Are Starting to Do

From the Summit discussions, several patterns are emerging among organizations that are beginning to move more coherently:

1️⃣ Shifting from tools to systems

Moving beyond “which tools should we use?” to “how should we operate with AI?”

2️⃣ Creating shared guardrails

Establishing clearer guidance on tone, usage, and decision-making to ensure consistency across teams

3️⃣ Investing in adoption, not just access

Focusing on training, enablement, and cultural integration

4️⃣ Connecting AI to business priorities

Ensuring AI is aligned to strategic goals, not just deployed for efficiency

5️⃣ Beginning to rethink operating models

Exploring how workflows, roles, and collaboration evolve in an AI-enabled environment

The Bigger Insight: AI Exposes the Operating System

One idea connected nearly every conversation we had: AI doesn’t just accelerate execution. It exposes how organizations actually operate. If teams are aligned, AI reinforces that alignment. If they’re not, AI amplifies fragmentation.

Which points to a deeper issue: The challenge isn’t the AI stack. It’s the system underneath it.

What This Means for Leadership Teams

As AI becomes embedded in day-to-day operations, the focus for leadership needs to evolve.

Because the organizations that will create real advantage aren’t the ones that adopt AI fastest. They’re the ones that integrate it most coherently.